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Wavelet-FFT Filter Applied to Non Uniformity Correction in Infrared Imaging System

  • Cesar San Martin
  • Carlos Deocares
  • S. Godoy
  • P. Meza
  • Daniela Bonilla
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)

Abstract

In this paper, we use the recently presented wavelet-FFT filter [1] to reduce the nonuniformity noise that affect almost all infrared imaging systems. The wavelet-FFT filter was originally developed to compensate the one-dimensional noise known as stripping noise. We perform an extension of this methodology in order to compensate the two-dimensional noise that degrades infrared imagery. The principal hypothesis of this work is that the two-dimensional focal-plane array can be considered as the composition of vertical and horizontal one-dimensional array sensors. Under this assumption we use a specific design of the wavelet filter to synthesize a replica of the two-dimensional noise and then recover the real incident radiation. The method is evaluated using real mid- and long-wave infrared data from two cameras. The results show the promising performance of the wavelet-FFT filter when is applied in infrared imaging system such as self heating effect.

Keywords

Kalman Filter Statistical Algorithm Infrared Image System Readout Data Virtual Array 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Cesar San Martin
    • 1
    • 2
  • Carlos Deocares
    • 1
    • 2
  • S. Godoy
    • 2
  • P. Meza
    • 2
  • Daniela Bonilla
    • 1
    • 2
  1. 1.Information Processing Laboratory, Electrical Engineering DepartmentUniversidad de La FronteraTemucoChile
  2. 2.Center for Optics and PhotonicsChile

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